Results 11 to 20 of about 2,431 (186)
A systematic review of literature on credit card cyber fraud detection using machine and deep learning [PDF]
The increasing spread of cyberattacks and crimes makes cyber security a top priority in the banking industry. Credit card cyber fraud is a major security risk worldwide.
Eyad Abdel Latif Marazqah Btoush +5 more
doaj +4 more sources
Credit Card Fraud Detection Methods: A Review [PDF]
In today’s context, the term “fraud” has become closely intertwined with credit card-related deceit. Recent years have witnessed a notable surge in both credit card utilization and fraudulent activities.
Pundkar Sumedh N., Zubei Mohd
doaj +2 more sources
The emergence of credit card fraud as a major concern has coincided with the unparalleled ease brought about by the spread of electronic transactions and online commercein the quickly changing financial technology landscape [1]. Strengthening security measures is becoming more and more important as financial transactions move to digitalplatforms.
Gyawali, Sanjaya +4 more
core +3 more sources
Credit Card Fraud Detection Based on Unsupervised Attentional Anomaly Detection Network
In recent years, with the rapid development of Internet technology, the number of credit card users has increased significantly. Subsequently, credit card fraud has caused a large amount of economic losses to individual users and related financial ...
Shanshan Jiang +3 more
doaj +2 more sources
Credit Card Fraud Detection using Decision Tree and Random Forest [PDF]
It is the time of technology advancement. Due to internet everything is available at the touch of a finger. There is a benefit of online shopping: first it saves lots of time and second it does not demand to go to market to buy anything.
Shah Dhwanir, Kumar Sharma Lokesh
doaj +2 more sources
Credit card fraud and detection techniques : a review [PDF]
Fraud is one of the major ethical issues in the credit card industry. The main aims are, firstly, to identify the different types of credit card fraud, and, secondly, to review alternative techniques that have been used in fraud detection. The sub-aim is to present, compare and analyze recently published findings in credit card fraud detection.
Delamaire, Linda +2 more
openaire +4 more sources
Currently, the continuous expansion of the credit card business and the increasingly fierce competition have made all kinds of fraud risks in the overall credit card business the biggest threat.
Zhichao Xie, Xuan Huang
doaj +2 more sources
A Neural Network Ensemble With Feature Engineering for Improved Credit Card Fraud Detection
Recent advancements in electronic commerce and communication systems have significantly increased the use of credit cards for both online and regular transactions.
Ebenezer Esenogho +4 more
doaj +3 more sources
Explainable Credit Card Fraud Detection with Image Conversion [PDF]
The increase in the volume and velocity of credit card transactions causes class imbalance and concept deviation problems in data sets where credit card fraud is detected. These problems make it very difficult for traditional approaches to produce robust
duygu sinanc +2 more
doaj +2 more sources
Enhancing credit card fraud detection with a stacking-based hybrid machine learning approach. [PDF]
The swift progression of technology has increased the complexity of cyber fraud, posing an escalating challenge for the banking sector to reliably and efficiently identify fraudulent credit card transactions.
Marazqah Btoush EAL +4 more
europepmc +2 more sources

